USA Principal, Data Scientist - San Bruno, CA, United States - Walmart

Description

We are looking for a Principal/Staff Data Scientist to join our team.

We are working on a stealth project currently incubating in Health&wellness organization, where you will discover and deliver the insights that will power the future of wellbeing for our customers, through the unparalleled scale of Walmart's platform.

You will be finding patterns in data sets, building ML models, and applying state-of-the-art AI technologies. You will partner with data engineering, product, and data governance team closely to build scalable ML/AI solutions.

This is a rare opportunity, moving at the speed of a start-up, with the backing of the Fortune 1 company and huge amount of data.

Build next-generation data products in the health and wellness space.

Collaborate closely with product team with your business acumen and machine learning expertise to shape our product roadmap:
Develop ML model to uncover health&wellness signals to help customers and improve health outcomes optimize their care journey.
Leverage cloud-based architectures and technologies to deliver optimized AI/ML models at scale.
Communicate your team's work effectively to senior leaders and the executive team regularly.
Design experimentation and leverage causal inferences to support product testing and rollout.

Stay up to date with the latest state-of-the-art techniques, Mentor junior data scientists, fostering a culture of learning and innovation.

Master's or PhD degree in STEM or relevant field; Professional experience in DS, ML, DLProficiency with machine learning and deep learning packages (scikit-learn, xgboost, Tensorflow or PyTorch).Experience writing SQL queries to surface insights from vast amounts of data.

Significant programing experience in Python, Spark etc.; Comfortable implementing algorithms from academic papers and building data pipelines.
Practical experience with cloud services (Google Cloud Platform etc.).Experience with health care data (claims, EMR) and its regulations.
Agile experience with emphasis on rapid prototyping.

Option 1:
Bachelor's degree in STEM or relevant field and 5 years' experience in ML/DSOption 2: Master's degree in STEM or relevant field and 3 years' experience in ML/DSOption 3: PhD degree in STEM or relevant field and 2 years' experience in ML/DS
Beyond competitive pay, you can receive incentive awards for your performance.

Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, options for hybrid and flexible schedules, and much more.

#and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; fosters an environment that supports learning, innovation, and intelligent risk-taking; Digital Transformation & Change

• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

Strategic Thinking

• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.

Focus on our AssociatesDiversity, Equity & Inclusion

• Identifies, attracts, and retains diverse and inclusive team members; embraces diversity in all its forms; and actively supports diversity goal programs.

At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet.

Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.

Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Additional compensation includes annual or quarterly performance incentives.
Stock equity incentives

Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

Option 2:

Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.

Option 3: 7 years' experience in an analytics or related field

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between.

As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world.

We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.

That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

"Lola, Project Analyst
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